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Fouad Sabry
Random Optimization
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2072114Random Optimizationhttps://www.gandhi.com.mx/random-optimization/phttps://gandhi.vtexassets.com/arquivos/ids/828565/88cf6b98-adfc-454f-b23a-6ec54fe3a8a8.jpg?v=6388700665185300009595MXNOne Billion KnowledgeableInStock/Ebooks/<p><strong>What Is Random Optimization</strong></p><p>Because it does not require the gradient of the problem to be optimized, random optimization (also known as RO) is a family of numerical optimization methods that can be used to functions that are neither continuous nor differentiable. These kinds of optimization approaches are also referred to as direct-search methods, derivative-free methods, and black-box methods.</p><p><strong>How You Will Benefit</strong></p><p>(I) Insights, and validations about the following topics:</p><p>Chapter 1: Random optimization</p><p>Chapter 2: Mathematical optimization</p><p>Chapter 3: Gradient</p><p>Chapter 4: Continuous function</p><p>Chapter 5: Differentiable function</p><p>Chapter 6: Normal distribution</p><p>Chapter 7: Evolution strategy</p><p>Chapter 8: Unimodality</p><p>Chapter 9: Limit (mathematics)</p><p>Chapter 10: Probability distribution</p><p>(II) Answering the public top questions about random optimization.</p><p>(III) Real world examples for the usage of random optimization in many fields.</p><p>(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of random optimization technologies.</p><p><strong>Who This Book Is For</strong></p><p>Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of random optimization.</p>...2029406Random Optimization9595https://www.gandhi.com.mx/random-optimization/phttps://gandhi.vtexassets.com/arquivos/ids/828565/88cf6b98-adfc-454f-b23a-6ec54fe3a8a8.jpg?v=638870066518530000InStockMXN99999DIEbook20236610000472352_W3siaWQiOiI2YTUwMDBiOS03ZWY5LTRlOGEtYTczMS0xMTAxZmI1MGRiZTgiLCJsaXN0UHJpY2UiOjk1LCJkaXNjb3VudCI6MCwic2VsbGluZ1ByaWNlIjo5NSwiaW5jbHVkZXNUYXgiOnRydWUsInByaWNlVHlwZSI6IklwcCIsImN1cnJlbmN5IjoiTVhOIiwiZnJvbSI6IjIwMjUtMDctMDFUMTk6MDA6MDBaIiwicmVnaW9uIjoiTVgiLCJpc1ByZW9yZGVyIjpmYWxzZX1d6610000472352_<p><strong>What Is Random Optimization</strong></p><p>Because it does not require the gradient of the problem to be optimized, random optimization (also known as RO) is a family of numerical optimization methods that can be used to functions that are neither continuous nor differentiable. These kinds of optimization approaches are also referred to as direct-search methods, derivative-free methods, and black-box methods.</p><p><strong>How You Will Benefit</strong></p><p>(I) Insights, and validations about the following topics:</p><p>Chapter 1: Random optimization</p><p>Chapter 2: Mathematical optimization</p><p>Chapter 3: Gradient</p><p>Chapter 4: Continuous function</p><p>Chapter 5: Differentiable function</p><p>Chapter 6: Normal distribution</p><p>Chapter 7: Evolution strategy</p><p>Chapter 8: Unimodality</p><p>Chapter 9: Limit (mathematics)</p><p>Chapter 10: Probability distribution</p><p>(II) Answering the public top questions about random optimization.</p><p>(III) Real world examples for the usage of random optimization in many fields.</p><p>(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of random optimization technologies.</p><p><strong>Who This Book Is For</strong></p><p>Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of random optimization.</p>...6610000472352_One Billion Knowledgeablelibro_electonico_3c6c86c4-fc26-3e22-bddb-c33a7fd46279_6610000472352;6610000472352_6610000472352Fouad SabryInglésMéxicohttps://getbook.kobo.com/koboid-prod-public/content2connect_drm-epub-3e7100bf-a27a-4099-8ca5-3b2c9ef77df1.epub2023-07-01T00:00:00+00:00One Billion Knowledgeable