Sulap angka

<div dir="ltr" style="text-align: left;" trbidi="on"> <!--[if gte mso 9]><xml> <w:WordDocument> <w:View>Normal</w:View> <w:Zoom>0</w:Zoom> <w:PunctuationKerning/> <w:ValidateAgainstSchemas/> <w:SaveIfXMLInvalid>false</w:SaveIfXMLInvalid> <w:IgnoreMixedContent>false</w:IgnoreMixedContent> <w:AlwaysShowPlaceholderText>false</w:AlwaysShowPlaceholderText> <w:Compatibility> <w:BreakWrappedTables/> <w:SnapToGridInCell/> <w:WrapTextWithPunct/> <w:UseAsianBreakRules/> <w:DontGrowAutofit/> </w:Compatibility> <w:BrowserLevel>MicrosoftInternetExplorer4</w:BrowserLevel> </w:WordDocument> </xml><![endif]--><!--[if gte mso 9]><xml> <w:LatentStyles DefLockedState="false" LatentStyleCount="156"> </w:LatentStyles> </xml><![endif]--><!--[if gte mso 10]> <style> /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman"; mso-ansi-language:#0400; mso-fareast-language:#0400; mso-bidi-language:#0400;} </style> <![endif]--><!--[if gte mso 9]><xml> <o:shapedefaults v:ext="edit" spidmax="1026"/> </xml><![endif]--><!--[if gte mso 9]><xml> <o:shapelayout v:ext="edit"> <o:idmap v:ext="edit" data="1"/> </o:shapelayout></xml><![endif]--> <br /> <div style="margin-bottom: .0001pt; margin-bottom: 0cm;"> <strong><i>sulap angka sederhana </i></strong></div> <div style="margin-bottom: .0001pt; margin-bottom: 0cm;"> <strong><i>-suruh orang bayangin angka berapa aja misalnya 150, dan anda tidak tahu.</i></strong></div> <strong><i>-trus suruh nambah angka sebutkan berapa aja misalnya 2.</i></strong><br /> <strong><i>-nah disitu anda suruh nambah atau kurang atau kali atau bagi, asal nanti kali bagi tambah -kurangnya kembali keangka dia ditambah keangka anda habis itu suruh dia ngurangi angka yg dia bayangkan yaitu 150, maka angka akhir sudah anda dapat yaitu 2… trus anda olah ditambah dibagi dikali. dsb … dan trus sebutkan angkanya maka akan cocok dg angka yg dia dapet.</i></strong><br /> <div style="margin-bottom: .0001pt; margin-bottom: 0cm;"> <strong><i>Menebak Angka Paporit</i></strong><b><i><br /> <strong>Suruh seseorang memikirkan angka dari 1-20.Lalu suruh dia untuk menghitung angka itu dengan rumus:</strong><br /> <strong>n x2 +5 x5 +4=hasil (n=angka yg dipikirkan) suruh dia*dari tadi suruh mulu!* untuk mengatakan hasilnya.misalnya hasilnya adalah 69.</strong><br /> <strong>Cara menebak: hasil terdiri dr 2 ato 3 angka, dan angka terakhir pasti 9. Untuk menebak, jika hasilnya terdiri dari 2 angka,kurangi angka depan(ingat,hanya angka depan!) dengan bilangan 2. Jadi jika terdiri dari 3 angka, kurangi 2 angka depan dengan bilangan 2.</strong><br /> <strong>So,kalo dia bilang hasilnya 69,berarti angka yg dia pikir adalah 4. (6-2=4)</strong><br /> <strong>Catatan:sebenernya angkanya boleh sampe jutaan,cuma kek nya nggak mungkin kita nyuruh orang ngitung kaya gitu pake metode awangan… O ya,seperti yang kubilang tadi,apapun hasilnya, angka belakangnya pasti 9..</strong></i></b></div> <div style="margin-bottom: 13.9pt; margin-left: 0cm; margin-right: 0cm; margin-top: 13.9pt;"> <strong><i><span style="color: red;">(trik 1)</span></i></strong><b><i><br /> <strong>pilih angka berapa aja contoh misalkan 30 terus di kali 2ditambah 38 lalu dibagi 2 terus dikurangin 30 yg merupakan angka pilihan kita dan hasilnya 19 30 x 2 + 38 : 2 – 30 = 19contoh lainnya 43 x 2 + 38 : 2 -43 = 19 ts juga bisa coba dgn angka lain selain 30 or 43 tapi tdk merubah rumusnya…x2+38:2-…=19</strong><br /> <strong>Penjelasannya seperti ini:</strong><br /> <strong>coba rumusnya disederhanakan dulu:</strong></i></b></div> <strong><i>((2x+38)/2)-x=19</i></strong><b><i><br /> <strong>(x+19)-x=19</strong></i></b><br /> <strong><i><span style="color: red;">(trik 2)</span></i></strong><b><i><br /> <strong>Pangil orang,suruh dia memikirkan no sembarang angka bisa 100, 32, 0.7, -6 pokoknya bebas dech</strong><br /> <strong>Lalu kalikan dengan 2.</strong><br /> <strong>Kalikan lagi dengan 5</strong><br /> <strong>Lalu hasilnya dibagi angka asal Lalu kurangi dengan 6</strong><br /> <strong>sekarang, Lo bilang ke org itu bahwa hasilnya adalah 4 ( kalo bukan berarti kalkulatornya eror atau temen lo yang eror)</strong><br /> <strong>Rahasianya</strong><br /> <strong>Ambil n sembarang angka</strong><br /> <strong>Dikalikan dengan 2 menjadi 2n</strong><br /> <strong>lalu dikalikan 5 menjadi 5x2n=10n</strong><br /> <strong>Disedrhanakan menjadi</strong><br /> <strong>10n=5x2n</strong><br /> <strong>10n/n=10</strong><br /> <strong>Dikurangi dengan 6 kita peroleh 10-6=4</strong><br /> <strong>akhirnya akan selalu 4</strong><br /> <strong>Jika digambarkan maka (nx2)x5/n=10-6=4</strong><br /> <strong>Jadi berapapun nilai n hasilnya sama.</strong></i></b><br /> <strong><i><span style="color: red;">(trik 3)</span></i></strong><b><i><br /> <strong>Nah dedy corbuzier pernah pake ni rumus</strong><br /> <strong>mengubah sebarang bilangan asli menjadi 9. Coba ubah bilangan 20 menjadi 9 dengan menggunakan operasi matematika yaitu tambah, kurang, kali, bagi atau yang lain.</strong><br /> <strong>Sebagi contoh</strong><br /> <strong>20 : 2 – 1 menjadi 9.</strong><br /> <strong>dengan cara lain</strong><br /> <strong>20 – 11 menjadi 9.</strong><br /> <strong>nah sekarang seandainya saya punya suatu bilangan yang tertulis dhati , tanpa mengetahui bilangan yang tertulis bisakah kalian mengubahnya menjadi sembilan?</strong><br /> <strong>Pasti menurut nalar tidak bisa. Apa yg hrus kita lakukan tanpa angka</strong><br /> <strong>-sekarang kita balik, siapkan selembar kertas dan tulis sebuah bilangan sesuka kalian, boleh bilangan kecil atau besar yang penting bilangan asli.Ingat pengertian bilangan dan angka berbeda,</strong><br /> <strong>Cth 75 adalah bilangan yang terdiri dari dua angka yaitu angka 7 dan angka 5. Dan</strong><br /> <strong>8 adalah bilangan yang terdiri dari satu angka yaitu 8.</strong><br /> <strong>Coba ikuti berikut ini</strong><br /> <strong>-kalikan bilangan yang kamu tulis dengan sembilan.</strong><br /> <strong>Hasilnya berupa sebuah bilangan asli juga, ada yang terdiri dari 1 angka, 2 angka, 3 angka, 4 angka dan seterusnya.</strong><br /> <strong>Jika hasilnya bilangan yang lebih dari satu angka maka Jumlahkan angka-angka yang menyusun bilangan tersebut sampai hasilnya berupa bilangan yang terdiri dari satu angka maka kamu harus berhenti.</strong><br /> <strong>Cth saya ingin bilangan 5764</strong><br /> <strong>5764×9=51876=5+1+8+7+6=27=2+7=9</strong><br /> <strong>maka hasil akhir adalah 9</strong><br /> <strong>-Saya yakin bahwa semua pasti berhenti menghitung pada saat bilangan terakhir adalah 9.</strong><br /> <strong>Apa ada yang hasil akhirnya bukan 9?</strong><br /> <strong>kenapa hasil akhirnya selalu sembilan adalah sebagai berikut.</strong><br /> <strong>-Angka-angka pembentuk bilangan kelipatan sembilan bila dijumlahkan pasti juga kelipatan sembilan.</strong><br /> <strong>-Sebagai penjelasan sederhana perhatikan contoh berikut</strong><br /> <strong>7814 x 9 = 70326</strong><br /> <strong>maka 70326 adalah kelipatan sembilan, padahal</strong><br /> <strong>70326 dapat ditulis sebagai</strong><br /> <strong>=(7×10000)+(0×1000)+(3×100)+(2×10)+(6×1)</strong><br /> <strong>=(7x[9999+1])+(0x[999+1])+(3x[99+1])+(2x[9+1])+ (6×1)</strong><br /> <strong>=(7×9999)+(0×999)+(3×99)+(2×9)+7+0+3+2+6</strong><br /> <strong>=9x([7x1111]+[0x111]+[3x11]+2)+(7+0+3+2+6)</strong><br /> <strong>Karena 70326 kelipatan 9 maka 70326 habis dibagi sembilan, sehingga harusnya (7+0+3+2+6) juga bilangan kelipatan sembilan.</strong><br /> <strong>-Jika dilakukan penjumlahan terus menerus maka semakin lama hasil penjumlahannya semakin sederhana dan pada akhirnya diperoleh bilangan dengan satu angka yang merupakan kelipatan sembilan. Bilangan itu tidak lain adalah 9 itu sendiri.</strong></i></b><br /> <strong><i><span style="color: red;">(trik 4)</span></i></strong><b><i><br /> <strong>suruh orang bayangin angka berapa aja misalnya 150, dan anda tidak tahu. trus suruh nambah angka anda sebutkan berapa aja misalnya 2.</strong><br /> <strong>nah disitu anda suruh nambah atau kurang atau kali atau bagi, asal nanti kali bagi tambah kurangnya kembali keangka dia ditambah keangka anda habis itu suruh dia ngurangi angka yg dia bayangkan yaitu 150, maka angka akhir sudah anda dapat yaitu 2… trus anda olah ditambah dibagi dikali. dsb… dan trus sebutkan angkanya maka akan cocok dg angka yg dia dapet. pusing ya…?</strong><br /> <strong>nih contoh gampangnya….</strong><br /> <strong>bayangkan sebuah angka dan jangan kasih tahu saya… misalnya dia bayangi 150. anda bilang kalikan 2….</strong><br /> <strong>150×2=300</strong><br /> <strong>kalikan 6……..</strong><br /> <strong>300×6=1800</strong><br /> <strong>bagi 3………</strong><br /> <strong>1800:6=300</strong><br /> <strong>tambah 50</strong><br /> <strong>300+50=350</strong><br /> <strong>tambah 50</strong><br /> <strong>350+50=400</strong><br /> <strong>kurangi 100</strong><br /> <strong>400-100=300</strong><br /> <strong>bagi angka yg anda bayangkan 300?150=2</strong><br /> <strong>nah disini angka anda sudah kepegang, tinggal anda kembangin dg kali bagi tambah dsb maka akan ketemu angkanya. dan sebutkan didepan temen anda.</strong><br /> <strong>bilangan kali,bagi,kurang,tambah hanya sebagai hiburan agar terlihat serius, intinya Riancian di atas adalah</strong><br /> <strong>(nx2)x6/3+50+50-100/n=2</strong><br /> <strong>(nx2)x2+100-100/n=2</strong><br /> <strong>(nx2)x2/n=2</strong><br /> <strong>(nx2)/n=2-2</strong><br /> <strong>(nx2)/n</strong><br /> <strong>2n/n=2</strong><br /> <strong>Atau</strong><br /> <strong>nx2=2n/n=2</strong><br /> <strong>Atau 2 bisa anda rubah yang lainnx3=3n/n=3</strong></i></b><br /> </div>

Sulap angka

sulap angka sederhana -suruh orang bayangin angka berapa aja misalnya 150, dan anda tidak tahu. -trus suruh nambah angka sebutkan ...

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kisi-kisi ujian nasional

<div dir="ltr" style="text-align: left;" trbidi="on"> <div class="MsoNormal"> <span style="font-family: "Comic Sans MS"; mso-bidi-font-family: "Courier New";">Ass.. Wr.. Wb..<br />Semoga kita semua selalu dalam keadaan sehat... aamiin..</span></div> <div class="MsoNormal"> <span style="font-family: "Comic Sans MS";"><br /></span></div> <div class="MsoNormal"> <span style="font-family: "Comic Sans MS";">Bagi adik-adik yang akan menghadapi Ujian Nasional,,,<br /> Kisi-kisi soal UN 2012/2013 sudah keluar..</span></div> <div class="MsoNormal"> <span style="font-family: "Comic Sans MS"; mso-bidi-font-family: "Courier New";">Persiapkan dengan baik ya…. (y)</span></div> <a href="http://www.blogger.com/blogger.g?blogID=3290874947745403558" name="more"></a><br /> <div class="MsoNormal"> <span style="font-family: "Comic Sans MS"; mso-bidi-font-family: "Courier New";">Seberapa penting sih kisi-kisi UN itu? Kisi-kisi UN adalah acuan dalam setiap butir soal UN yang akan diujikan nanti. Jadi, kisi-kisi UN adalah panduan baik itu murid maupun guru dalam rangka mempersiapkan diri menghadapi ujian tahunan ini.</span></div> <br /> <div class="MsoNormal"> <span style="font-family: "Comic Sans MS";">link download file Kisi-Kisi UN untuk SD/MI tahun 2013</span></div> <div class="MsoNormal"> <span style="font-family: "Comic Sans MS";">Kisi-Kisi UN SMP/MTs <span style="mso-spacerun: yes;"> </span>tahun 2013</span></div> <span style="font-family: "Comic Sans MS"; font-size: 11.0pt; line-height: 115%; mso-ansi-language: EN-US; mso-bidi-font-family: "Times New Roman"; mso-bidi-language: AR-SA; mso-bidi-theme-font: minor-bidi; mso-fareast-font-family: Calibri; mso-fareast-language: EN-US; mso-fareast-theme-font: minor-latin;">Kisi-Kisi UN SMA/MA, SMK/MAK, dan SLB tahun 2013</span><br /> <span style="font-family: "Comic Sans MS"; font-size: 11pt; line-height: 115%;">Silahkan Download via link dibawah ini :…</span><br /> <br /> <br /> <a href="http://adfoc.us/4721511385581" target="_blank"><span style="font-family: "Comic Sans MS"; font-size: 11pt; line-height: 115%;">SK Kisi-kisi Ujian Nasional 2013 </span></a><br /> <a href="http://adfoc.us/4721512990157" target="_blank"><span style="font-family: "Comic Sans MS"; font-size: 11pt; line-height: 115%;"><br /></span></a> <a href="http://adfoc.us/4721512990157" target="_blank"><span style="font-family: "Comic Sans MS"; font-size: 11pt; line-height: 115%;">Kisi-kisi UN SD / MI dan SDLB 2013</span></a><br /> <a href="http://adfoc.us/4721512990147" target="_blank"><span style="font-family: "Comic Sans MS"; font-size: 11pt; line-height: 115%;"><br /></span></a> <a href="http://adfoc.us/4721512990147" target="_blank"><span style="font-family: "Comic Sans MS"; font-size: 11pt; line-height: 115%;">Kisi-kisi UN SMP/MTs. SMA/MA. SMK/MAK. dan PLB</span></a><br /> <span style="font-family: "Comic Sans MS"; font-size: 11pt; line-height: 115%;"><br /></span> <span style="font-family: "Comic Sans MS"; font-size: 11pt; line-height: 115%;"><br /></span> <span style="font-family: "Comic Sans MS"; font-size: 11pt; line-height: 115%;">Semoga bermanfaat kawand..</span><br /> <span style="font-family: "Comic Sans MS"; font-size: 11pt; line-height: 115%;">Suksess....</span></div>

kisi-kisi ujian nasional

Ass.. Wr.. Wb.. Semoga kita semua selalu dalam keadaan sehat... aamiin.. Bagi adik-adik yang akan menghadapi Ujian Nasional,,, Kisi-k...

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operation-research

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font-size: 10pt;">14 Special Transformations<br /> </span><br /> <br /> <a href="http://www.box.net/shared/km1b31jmnj"><strong>Download ebook ini.</strong></a><strong></strong><br /> <strong><br /> </strong><br /> <strong><br /> </strong><br /> <strong><br /> </strong><br /> <strong><br /> </strong><br /> <h3 class="result"> <a href="http://sutrisnowijaya.wordpress.com/2011/02/18/optimization-kenneth-lange/" rel="bookmark" title="Permalink to Optimization – Kenneth Lange">Optimization – Kenneth Lange</a></h3> <img alt="" src="http://sutrisnowijaya.files.wordpress.com/2011/02/021811_2356_optimizatio1.jpg?w=540" /> <br /> Daftar isi buku ini : <br /> 1 Elementary Optimization <br /> 2 The Seven C’s of Analysis <br /> 3 Differentiation <br /> 4 Karush-Kuhn-Tucker Theory <br /> 5 Convexity <br /> 6 The MM Algorithm <br /> 7 The EM Algorithm <br /> 8 Newton’s Method <br /> 9 Conjugate Gradient and Quasi-Newton <br /> 10 Analysis of Convergence <br /> 11 Convex Programming <br /> <br /> <a href="http://www.box.net/shared/bgg55nh64q"><strong>Download ebook ini.</strong></a><strong></strong><br /> <strong><br /> </strong><br /> <strong><br /> </strong><br /> <strong><br /> </strong><br /> <strong><br /> </strong><br /> <h3 class="result"> <a href="http://sutrisnowijaya.wordpress.com/2011/02/18/mathematical-optimization-and-economic-analysis/" rel="bookmark" title="Permalink to MATHEMATICAL OPTIMIZATION AND ECONOMIC ANALYSIS">MATHEMATICAL OPTIMIZATION AND ECONOMIC ANALYSIS</a></h3> Buku yang membahas tentang optimasi dan anaisis ekonomi secara lengkap beserta apliaksinya. <br /> <img alt="" src="http://sutrisnowijaya.files.wordpress.com/2011/02/021811_2342_mathematica1.jpg?w=540" /> <br /> Daftar isi buku ini :<span style="font-family: Times New Roman; font-size: 10pt;">Part I Single-Objective Optimization<br /> </span><br /> <span style="font-family: Times New Roman; font-size: 10pt;">1 Scarcity and Efficiency<br /> </span><br /> <span style="font-family: Times New Roman; font-size: 10pt;">2 Kuhn–Tucker Conditions<br /> </span><br /> <span style="font-family: Times New Roman; font-size: 10pt;">3 Convex Programming<br /> </span><br /> <span style="font-family: Times New Roman; font-size: 10pt;">4 Linear Programming<br /> </span><br /> <span style="font-family: Times New Roman; font-size: 10pt;">5 Data Envelopment Analysis<br /> </span><br /> <span style="font-family: Times New Roman; font-size: 10pt;">6 Geometric Programming<br /> </span><br /> <br /> <span style="font-family: Times New Roman; font-size: 10pt;">Part II Multiobjective Optimization<br /> </span><br /> <span style="font-family: Times New Roman; font-size: 10pt;">7 Fundamentals of Multiobjective Optimization<br /> </span><br /> <span style="font-family: Times New Roman; font-size: 10pt;">8 Multiobjective Linear Programming<br /> </span><br /> <span style="font-family: Times New Roman; font-size: 10pt;">9 Multiobjective Geometric Programming<br /> </span><br /> <br /> <a href="http://www.box.net/shared/17j42dd3ji"><strong>Download ebook ini.</strong></a><strong></strong><br /> <strong><br /> </strong><br /> <strong><br /> </strong><br /> <strong><br /> </strong><br /> <strong><br /> </strong><br /> <strong><br /> </strong><br /> <h3 class="result"> <a href="http://sutrisnowijaya.wordpress.com/2011/02/18/linear-programming-and-its-applications/" rel="bookmark" title="Permalink to Linear programming and its applications">Linear programming and its applications</a></h3> <img alt="" src="http://sutrisnowijaya.files.wordpress.com/2011/02/021811_2339_linearprogr1.png?w=540" /> <br /> <a href="http://www.box.net/shared/df8ipzoc66"><strong>Download ebook ini.</strong></a><strong></strong><br /> <strong><br /> </strong><br /> <strong><br /> </strong><br /> <strong><br /> </strong><br /> <h3 class="result"> <a href="http://sutrisnowijaya.wordpress.com/2011/02/18/integer-and-mixed-programming-theory-and-applications-arnold-kaufmann/" rel="bookmark" title="Permalink to INTEGER AND MIXED PROGRAMMING Theory and Applications – Arnold Kaufmann">INTEGER AND MIXED PROGRAMMING Theory and Applications – Arnold Kaufmann</a></h3> Buku tentang pemrograman integer dan pemrograman campuran beserta aplikasinya. <br /> <img alt="" src="http://sutrisnowijaya.files.wordpress.com/2011/02/021811_2328_integerandm1.jpg?w=540" /> <br /> Daftar isi buku ini : <br /> <span style="font-family: Times New Roman;">Chapter </span><span style="font-family: Arial;">I. PROGRAMS WITH INTEGER AND MIXED VALUES</span><span style="font-family: Times New Roman;"><br /> </span><br /> <span style="font-family: Times New Roman;">Chapter II. </span><span style="font-family: Arial;">ALGORITHMS AND HEURISTICS FOR INTEGER OR MIXED PROGRAMS<br /> </span><br /> <span style="font-family: Times New Roman;">Supplement. MIXED PROGRAMMING AND RECENT METHODS OF INTEGER PROGRAMMING<br /> </span><br /> <br /> <a href="http://www.box.net/shared/oofkh3hdn8"><strong>Download ebook ini.</strong></a><strong><br /> </strong><br /> <strong>Recent Post :</strong><br /> <br /> <br /> <br /> <br /> <h3 class="result"> <a href="http://sutrisnowijaya.wordpress.com/2011/02/18/geometric-algorithms-and-combinatorial-optimization/" rel="bookmark" title="Permalink to Geometric algorithms and combinatorial optimization">Geometric algorithms and combinatorial optimization</a></h3> Buku tentang algoritma geometric dan optimasi kombinatorial. <br /> <img alt="" src="http://sutrisnowijaya.files.wordpress.com/2011/02/021811_2315_geometrical1.jpg?w=540" /> <br /> <strong>Daftar isi buku ini :<br /> </strong><br /> Chapter 0. Mathematical Preliminaries <br /> Chapter 1. Complexity, Oracles, and Numerical Computation <br /> Chapter 2. Algorithmic Aspects of Convex Sets: Formulation of the Problems <br /> Chapter 3. The Ellipsoid Method <br /> Chapter 4. Algorithms for Convex Bodies <br /> Chapter 5. Diophantine Approximation and Basis Reduction <br /> Chapter 6. Rational Polyhedra <br /> Chapter 7. Combinatorial Optimization: Some Basic Examples <br /> Chapter 8. Combinatorial Optimization: A Tour d’Horizon <br /> Chapter 9. Stable Sets in Graphs <br /> Chapter 10. Submodular Functions <br /> <br /> <a href="http://www.box.net/shared/l367m9qigv"><strong>Download ebook ini.</strong></a><strong></strong><br /> <strong><br /> </strong><br /> <h3 class="result"> <a href="http://sutrisnowijaya.wordpress.com/2011/02/18/discrete-optimization-k-aardal/" rel="bookmark" title="Permalink to Discrete Optimization – K. Aardal">Discrete Optimization – K. Aardal</a></h3> <span style="font-size: 9pt;"><span style="font-family: Arial Unicode MS;">K. Aardal et al., Eds., </span><span style="font-family: Arial Unicode MS;">Handbooks in OR & MS, Vol. 12</span></span><span style="font-family: Arial Unicode MS; font-size: 10pt;"><br /> </span><br /> <img alt="" src="http://stats.files.wordpress.com/2011/02/021811_2314_discreteopt1.png?w=540" /> <br /> <a href="http://www.box.net/shared/d5epjbo05j"><strong>Download ebook ini</strong></a><br /> <br /> <h3 class="result"> <a href="http://sutrisnowijaya.wordpress.com/2011/02/18/global-optimization-algorithms-theory-and-application-thomas-weise/" rel="bookmark" title="Permalink to Global Optimization Algorithms Theory and Application – Thomas Weise">Global Optimization Algorithms Theory and Application – Thomas Weise</a></h3> <span style="color: black; font-family: Arial; font-size: 10pt;">Buku tentang riset operasi yang membahas teori optimasi dan aplikasinya.<br /> </span><br /> <img alt="" src="http://sutrisnowijaya.files.wordpress.com/2011/02/021811_2235_globaloptim12.jpg?w=540" /><span style="color: black; font-family: Arial; font-size: 10pt;"><strong><br /> </strong></span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;"><strong>Daftar isi buku ini :<br /> </strong></span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;"><strong>Part I Global Optimization<br /> </strong></span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">1 Introduction<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">2 Evolutionary Algorithms<br /> </span><br /> <span style="color: black;"><span style="font-family: Arial; font-size: 10pt;">3 Genetic Algorithms</span><span style="background-color: black; font-family: Times New Roman; font-size: 0;"><br /> </span><span style="font-family: Arial; font-size: 10pt;"><br /> </span></span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">4 Genetic Programming<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">5 Evolution Strategy<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">6 Evolutionary Programming<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">7 Learning Classifier Systems<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">8 Ant Colony Optimization<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">9 Particle Swarm Optimization<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">10 Hill Climbing<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">11 Random Optimization<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">12 Simulated Annealing<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">13 Extremal Optimization<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">14 Tabu Search<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">15 Memetic and Hybrid Algorithms<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">16 Downhill Simplex (Nelder and Mead)<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">17 State Space Search<br /> </span><br /> <span style="color: black; font-size: 10pt;"><span style="font-family: Arial;">18 Parallelization and Distribution</span><span style="font-family: Arial;">.</span><span style="font-family: Arial;"><br /> </span></span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">19 Maintaining the Optimal Set<br /> </span><br /> <br /> <span style="color: black; font-family: Arial; font-size: 10pt;"><strong>Part II Applications<br /> </strong></span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">20 Experimental Settings, Measures, and Evaluations<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">21 Benchmarks and Toy Problems<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">22 Contests<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">23 Real-World Applications<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">24 Research Applications<br /> </span><br /> <br /> <span style="color: black; font-family: Arial; font-size: 10pt;"><strong>Part III Sigoa – Implementation in Java<br /> </strong></span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">25 Introduction<br /> </span><br /> <span style="color: black; font-size: 10pt;"><span style="font-family: Arial;">26 Examples </span><span style="font-family: Arial;">. .</span><span style="font-family: Arial;"><br /> </span></span><br /> <br /> <span style="color: black; font-family: Arial; font-size: 10pt;"><strong>Part IV Background<br /> </strong></span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">27 Set Theory<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">28 Stochastic Theory and Statistics<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">29 Clustering<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">30 Theoretical Computer Science<br /> </span><br /> <br /> <a href="http://www.box.net/shared/7iury2hou0"><strong>Download ebook ini.</strong></a><strong></strong><br /> <strong><br /> </strong><br /> <strong><br /> </strong><br /> <strong><br /> </strong><br /> <h3 class="result"> <a href="http://sutrisnowijaya.wordpress.com/2011/02/18/dynamic-programming-and-partial-differential-equations/" rel="bookmark" title="Permalink to Dynamic Programming and Partial Differential Equations">Dynamic Programming and Partial Differential Equations</a></h3> Buku pemrograman dinamis dan persamaan differensial parsial. <br /> <img alt="" src="http://sutrisnowijaya.files.wordpress.com/2011/02/021811_2222_dynamicprog1.jpg?w=540" /> <br /> <strong>Daftar isi buku ini :<br /> </strong><br /> Chapter 1 Introduction <br /> Chapter 2 Quadratic Variational Problems <br /> Chapter 3 Dynamic Programming <br /> Chapter 4 The Potential Equation <br /> Chapter 5 Dynamic Programming And Elliptic Equations <br /> Chapter 6 Invariant Imbedding <br /> Chapter 7 Irregular Regions <br /> Chapter 8 Special Computational Methods <br /> Chapter 9 Unconventional Difference Methods <br /> Chapter 10 Parabolic Equations <br /> Chapter 11 Nonlinear Equations And Quasilinearization <br /> Appendix Computer Programs <br /> <br /> <a href="http://www.box.net/shared/2lyvp4zcql"><strong>Download ebook ini.</strong></a><strong></strong><br /> <strong><br /> </strong><br /> <strong><br /> </strong><br /> <strong><br /> </strong><br /> <br /> </div>

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Large-Scale Nonlinear Optimization – G. DI PILL0 Daftar isi buku ini : Fast Linear Algebra for Multiarc Trajectory Optimization,...

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Large-Scale Nonlinear Optimization – G. DI PILL0

<div dir="ltr" style="text-align: left;" trbidi="on"> <div class="post-998 post type-post status-publish format-standard hentry category-math-e-book category-operation-research tag-download-buku-riset-operasi tag-matematika-terapan" id="post-998"> <div class="entry"> <h3 class="result"> <a href="http://sutrisnowijaya.wordpress.com/2011/02/18/large-scale-nonlinear-optimization-g-di-pill0/" rel="bookmark" title="Permalink to Large-Scale Nonlinear Optimization – G. DI PILL0">Large-Scale Nonlinear Optimization – G. DI PILL0</a></h3> <img alt="" src="http://sutrisnowijaya.files.wordpress.com/2011/02/021911_0053_largescalen1.jpg?w=540" /> <br /> <strong>Daftar isi buku ini :<br /> </strong><br /> <ol> <li><span style="font-family: Times New Roman;"><span style="font-size: 10pt;">Fast Linear Algebra for Multiarc Trajectory Optimization, <em>Nicolas Be’rend, J. Fre’de’ric Bonnans, Julien Laurent- Varin, Mouni Haddou, Christophe Talbot</em></span><span style="font-size: 10pt;"><br /> </span></span></li> <li><span style="font-family: Times New Roman; font-size: 10pt;">Lagrange Multipliers with Optimal Sensitivity Properties in Constrained Optimization, <em>Dimitri P. Bertsekas</em><br /> </span></li> <li><span style="font-family: Times New Roman; font-size: 10pt;">An O(n2) Algorithm for Isotonic Regression, <em>Oleg Burdakov, Oleg Sysoev, Anders Grimvall, Mohamed Hussian</em><br /> </span></li> <li><span style="font-family: Times New Roman; font-size: 10pt;">KNITRO: An Integrated Package for Nonlinear Optimization, <em>Richard H. Byrd, Jorge Nocedal, Richard A. Waltz</em><br /> </span></li> <li><span style="font-family: Times New Roman;"><span style="font-size: 10pt;">On implicit-factorization constraint preconditioners, <em>H. Sue Dollar, Nicholas </em></span><span style="font-size: 11pt;"><em>I, </em></span><span style="font-size: 10pt;"><em>M, Gould, Andrew J. Wathen</em><br /> </span></span></li> <li><span style="font-family: Times New Roman; font-size: 10pt;">Optimal algorithms for large sparse quadratic programming problems with uniformly bounded spectrum, <em>Zdengk Dostdl</em><br /> </span></li> <li><span style="font-family: Times New Roman;"><span style="font-size: 10pt;">Numerical methods for separating two polyhedra, <em>Yury G. Evtushenko, Alexander </em></span><em>I. <span style="font-size: 10pt;">Golikov, Sued Ketabchi</span></em><br /> </span></li> <li><span style="font-family: Times New Roman; font-size: 10pt;">Exact penalty functions for generalized Nash problems, <em>Francisco Facchinei, Jong-Shi Pang</em><br /> </span></li> <li><span style="font-family: Times New Roman;"><span style="font-size: 10pt;">Parametric Sensitivity Analysis for Optimal Boundary Control of </span><span style="font-size: 10pt;">a </span><span style="font-size: 10pt;">3D Reaction-Diffusion System, <em>Roland Griesse, Stefan Volkwei</em><br /> </span></span></li> <li><span style="font-family: Times New Roman; font-size: 10pt;">Projected Hessians for Preconditioning in One-Step One-Shot Design Optimization, <em>Andreas Griewank</em><br /> </span></li> <li><span style="font-family: Times New Roman; font-size: 10pt;">Conditions and parametric representations of approximate minimal elements of a set through scalarization, <em>Ce’sar Gutie’rrez, Bienvenido Jime’nez, Vicente Novo</em><br /> </span></li> <li><span style="font-family: Times New Roman; font-size: 10pt;">Efficient methods for large-scale unconstrained optimization, <em>Ladislav LukSan, Jan VlCek.</em><br /> </span></li> <li><span style="font-family: Times New Roman; font-size: 10pt;">A variational approach for minimum cost flow problems, <em>Giandomenico Mastroeni</em><br /> </span></li> <li><span style="font-family: Times New Roman;"><span style="font-size: 10pt;">Multi-Objective Optimisation of Expensive Objective Functions with Variable Fidelity Models, <em>Daniele Peri, Antonio Pinto, Emilio </em></span><em>F. <span style="font-size: 10pt;">Campana</span></em><br /> </span></li> <li><span style="font-family: Times New Roman; font-size: 10pt;">Towards the Numerical Solution of a Large Scale PDAE Constrained Optimization Problem Arising in Molten Carbonate Fuel Cell Modeling <em>Hans Josef Pesch, Kati Sternberg, Kurt Chudej</em><br /> </span></li> <li> <div> <span style="font-family: Times New Roman; font-size: 10pt;">The NEWUOA software for unconstrained optimization without derivatives <em>M.J.D. Powell</em><br /> </span></div> <br /> </li> </ol> <a href="http://www.box.net/shared/998tdhp6os"><strong>Download ebook ini.</strong></a><strong><br /> </strong><br /> <strong>Recent Post :<br /> </strong><br /> <ul> <li><a href="http://sutrisnowijaya.wordpress.com/2012/06/03/sudoku-free/" title="Sudoku free">Sudoku free</a></li> <li><a href="http://sutrisnowijaya.wordpress.com/2012/06/03/calculus-tools/" title="Calculus tools">Calculus tools</a></li> <li><a href="http://sutrisnowijaya.wordpress.com/2011/10/26/integral-dunford%e2%80%93henstock-pada-sel/" title="Integral Dunford–Henstock pada Sel">Integral Dunford–Henstock pada Sel</a></li> <li><a href="http://sutrisnowijaya.wordpress.com/2011/08/12/ubah-setting-chat-sidebar-facebook/" title="Ubah setting chat sidebar facebook">Ubah setting chat sidebar facebook</a></li> <li><a href="http://sutrisnowijaya.wordpress.com/2011/03/16/pemodelan-matematika-pada-tabungan-dengan-bunga-majemuk/" title="Pemodelan Matematika Pada Tabungan Dengan 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PROGRAMS WITH INTEGER AND MIXED VALUES</span><span style="font-family: Times New Roman;"><br /> </span><br /> <span style="font-family: Times New Roman;">Chapter II. </span><span style="font-family: Arial;">ALGORITHMS AND HEURISTICS FOR INTEGER OR MIXED PROGRAMS<br /> </span><br /> <span style="font-family: Times New Roman;">Supplement. 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Mathematical Preliminaries <br /> Chapter 1. Complexity, Oracles, and Numerical Computation <br /> Chapter 2. Algorithmic Aspects of Convex Sets: Formulation of the Problems <br /> Chapter 3. The Ellipsoid Method <br /> Chapter 4. Algorithms for Convex Bodies <br /> Chapter 5. Diophantine Approximation and Basis Reduction <br /> Chapter 6. Rational Polyhedra <br /> Chapter 7. Combinatorial Optimization: Some Basic Examples <br /> Chapter 8. Combinatorial Optimization: A Tour d’Horizon <br /> Chapter 9. Stable Sets in Graphs <br /> Chapter 10. Submodular Functions <br /> <br /> <a href="http://www.box.net/shared/l367m9qigv"><strong>Download ebook ini.</strong></a><strong><br /> </strong><br /> <strong>Recent Post :<br /> </strong><br /> <ul> <li><a href="http://sutrisnowijaya.wordpress.com/2012/06/03/sudoku-free/" title="Sudoku free">Sudoku free</a></li> <li><a href="http://sutrisnowijaya.wordpress.com/2012/06/03/calculus-tools/" title="Calculus tools">Calculus tools</a></li> <li><a href="http://sutrisnowijaya.wordpress.com/2011/10/26/integral-dunford%e2%80%93henstock-pada-sel/" title="Integral Dunford–Henstock pada Sel">Integral Dunford–Henstock pada Sel</a></li> <li><a href="http://sutrisnowijaya.wordpress.com/2011/08/12/ubah-setting-chat-sidebar-facebook/" title="Ubah setting chat sidebar facebook">Ubah setting chat sidebar facebook</a></li> <li><a href="http://sutrisnowijaya.wordpress.com/2011/03/16/pemodelan-matematika-pada-tabungan-dengan-bunga-majemuk/" title="Pemodelan Matematika Pada Tabungan Dengan Bunga Majemuk">Pemodelan Matematika Pada Tabungan Dengan Bunga Majemuk</a></li> </ul> </div> <div class="post-meta post-tags"> <strong>Tagged with:</strong><br /> <ul> <li><a href="http://sutrisnowijaya.wordpress.com/tag/buku-tentang-algoritma-geometrik-dan-optimasi-kombinatorial/" rel="tag">buku tentang algoritma geometrik dan optimasi kombinatorial</a></li> </ul> </div> </div> <div class="post-933 post type-post status-publish format-standard hentry category-math-e-book category-operation-research tag-teori-optimasi-diskrit" id="post-933"> <div class="entry"> <h3 class="result"> <a href="http://sutrisnowijaya.wordpress.com/2011/02/18/discrete-optimization-k-aardal/" rel="bookmark" title="Permalink to Discrete Optimization – K. Aardal">Discrete Optimization – K. Aardal</a></h3> <span style="font-size: 9pt;"><span style="font-family: Arial Unicode MS;">K. 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href="http://sutrisnowijaya.wordpress.com/2011/02/18/discrete-optimization-k-aardal/?like=1&_wpnonce=9f9b134b29" rel="nofollow" title="I like this."><span>Like</span></a></div> <div class="wpl-count sd-like-count"> Be the first to like this.</div> </div> </div> </div> </div> <div class="post-meta post-category"> <div class="post-category-title"> <strong>Category:</strong></div> <div class="post-category-elements"> <a href="http://sutrisnowijaya.wordpress.com/category/math-e-book/" rel="category tag" title="View all posts in Math e-book">Math e-book</a>, <a href="http://sutrisnowijaya.wordpress.com/category/operation-research/" rel="category tag" title="View all posts in Operation Research">Operation Research</a></div> </div> <div class="post-meta post-tags"> <strong>Tagged with:</strong><br /> <ul> <li><a href="http://sutrisnowijaya.wordpress.com/tag/teori-optimasi-diskrit/" rel="tag">teori optimasi diskrit</a></li> </ul> </div> </div> <div class="post-920 post type-post status-publish format-standard hentry category-math-e-book category-operation-research tag-buku-tentang-algoritma-optimisasi-global" id="post-920"> <div class="entry"> <h3 class="result"> <a href="http://sutrisnowijaya.wordpress.com/2011/02/18/global-optimization-algorithms-theory-and-application-thomas-weise/" rel="bookmark" title="Permalink to Global Optimization Algorithms Theory and Application – Thomas Weise">Global Optimization Algorithms Theory and Application – Thomas Weise</a></h3> <span style="color: black; font-family: Arial; font-size: 10pt;">Buku tentang riset operasi yang membahas teori optimasi dan aplikasinya.<br /> </span><br /> <img alt="" src="http://sutrisnowijaya.files.wordpress.com/2011/02/021811_2235_globaloptim12.jpg?w=540" /><span style="color: black; font-family: Arial; font-size: 10pt;"><strong><br /> </strong></span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;"><strong>Daftar isi buku ini :<br /> </strong></span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;"><strong>Part I Global Optimization<br /> </strong></span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">1 Introduction<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">2 Evolutionary Algorithms<br /> </span><br /> <span style="color: black;"><span style="font-family: Arial; font-size: 10pt;">3 Genetic Algorithms</span><span style="background-color: black; font-family: Times New Roman; font-size: 0;"><br /> </span><span style="font-family: Arial; font-size: 10pt;"><br /> </span></span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">4 Genetic Programming<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">5 Evolution Strategy<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">6 Evolutionary Programming<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">7 Learning Classifier Systems<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">8 Ant Colony Optimization<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">9 Particle Swarm Optimization<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">10 Hill Climbing<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">11 Random Optimization<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">12 Simulated Annealing<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">13 Extremal Optimization<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">14 Tabu Search<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">15 Memetic and Hybrid Algorithms<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">16 Downhill Simplex (Nelder and Mead)<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">17 State Space Search<br /> </span><br /> <span style="color: black; font-size: 10pt;"><span style="font-family: Arial;">18 Parallelization and Distribution</span><span style="font-family: Arial;">.</span><span style="font-family: Arial;"><br /> </span></span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">19 Maintaining the Optimal Set<br /> </span><br /> <br /> <span style="color: black; font-family: Arial; font-size: 10pt;"><strong>Part II Applications<br /> </strong></span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">20 Experimental Settings, Measures, and Evaluations<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">21 Benchmarks and Toy Problems<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">22 Contests<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">23 Real-World Applications<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">24 Research Applications<br /> </span><br /> <br /> <span style="color: black; font-family: Arial; font-size: 10pt;"><strong>Part III Sigoa – Implementation in Java<br /> </strong></span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">25 Introduction<br /> </span><br /> <span style="color: black; font-size: 10pt;"><span style="font-family: Arial;">26 Examples </span><span style="font-family: Arial;">. .</span><span style="font-family: Arial;"><br /> </span></span><br /> <br /> <span style="color: black; font-family: Arial; font-size: 10pt;"><strong>Part IV Background<br /> </strong></span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">27 Set Theory<br /> </span><br /> <span style="color: black; font-family: Arial; font-size: 10pt;">28 Stochastic Theory and Statistics<br /> </span><br /> 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