Free Download Isogeometric Topology Optimization: Methods, Applications and Implementations by Jie Gao
English | PDF,EPUB | 2022 | 230 Pages | ISBN : 9811917698 | 101.8 MB
Isogeometric Topology Optimization Methods, Applications and Implementations
Tag Archives: Optimization
Information Theory, Mathematical Optimization, and Their Crossroads in 6G System Design
Free Download Shih-Chun Lin, "Information Theory, Mathematical Optimization, and Their Crossroads in 6G System Design "
English | ISBN: 981192015X | 2023 | 410 pages | EPUB | 42 MB
This book provides a broad understanding of the fundamental tools and methods from information theory and mathematical programming, as well as specific applications in 6G and beyond system designs. The contents focus on not only both theories but also their intersection in 6G. Motivations are from the multitude of new developments which will arise once 6G systems integrate new communication networks with AIoT (Artificial Intelligence plus Internet of Things). Design issues such as the intermittent connectivity, low latency, federated learning, IoT security, etc., are covered. This monograph provides a thorough picture of new results from information and optimization theories, as well as how their dialogues work to solve aforementioned 6G design issues.
Continuous Optimization For Data Science
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English | 2025 | ISBN: 9811299196 | 318 Pages | PDF (True) | 14 MB
The text is divided into three main parts: unconstrained optimization, constrained optimization, and linear programming. The first part addresses unconstrained optimization in single-variable and multivariable functions, introducing key algorithms such as steepest descent, Newton, and quasi-Newton methods.The second part focuses on constrained optimization, starting with linear equality constraints and extending to more general cases, including inequality constraints. It details optimality conditions, sensitivity analysis, and relevant algorithms for solving these problems.The third part covers linear programming, presenting the formulation of LP problems, the simplex algorithm, and sensitivity analysis. Throughout, the text provides numerous applications to data science, such as linear regression, maximum likelihood estimation, expectation-maximization algorithms, support vector machines, and linear neural networks.
Renewable Power System Optimization
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English | 2025 | ISBN: 9819781310 | 374 Pages | PDF EPUB (True) | 33 MB
This book investigates in detail renewable power system optimization (RPSO) technology, exploring its potential us to accommodate intermittent, random, and fluctuating renewable energy from the aspects of power supply side, power grid side, demand side and energy storage. RPSO delves into the interdisciplinary field of sustainable energy systems, offering a comprehensive exploration of methodologies and strategies to maximize the efficiency, reliability, and resilience of renewable power systems. Studies on RPSO have attracted engineers and scientists from various disciplines, such as electrical, computer, transportation, control and management science. The book integrates theoretical frameworks, computational techniques, and practical case studies, which caters to a diverse readers including researchers, engineers, policymakers, and graduate students specializing in renewable energy, electrical engineering, environmental science, and related disciplines. It is particularly beneficial for those seeking to enhance the efficiency, reliability, and resilience of renewable power systems in the face of evolving energy transition challenges.
Optimization of Pharmaceutical Processes
Free Download Antonios Fytopoulos, "Optimization of Pharmaceutical Processes "
English | ISBN: 3030909239 | 2022 | 449 pages | EPUB | 51 MB
Optimization of Pharmaceutical Processes presents contributions from leading authorities in the fields of optimization and pharmaceutical manufacturing. Formulated within structured frameworks, practical examples and applications are given as guidance to apply optimization techniques to most aspects of pharmaceutical processes from design, to lab and pilot scale, and finally to manufacturing. The increasing demand for better quality, higher yield, more efficient-optimized and green pharmaceutical processes, indicates that optimal conditions for production must be applied to achieve simplicity, lower costs and superior yield. The application of such methods in the pharmaceutical industry is not trivial. Quality of the final product is of major importance to human health and the need for deep knowledge of the process parameters and the optimization of the processes are imperative.
Lectures on Nonsmooth Optimization
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English | 2025 | ISBN: 3031914163 | 564 Pages | PDF EPUB (True) | 44 MB
This book provides an in-depth exploration of nonsmooth optimization, covering foundational algorithms, theoretical insights, and a wide range of applications. Nonsmooth optimization, characterized by nondifferentiable objective functions or constraints, plays a crucial role across various fields, including machine learning, imaging, inverse problems, statistics, optimal control, and engineering. Its scope and relevance continue to expand, as many real-world problems are inherently nonsmooth or benefit significantly from nonsmooth regularization techniques. This book covers a variety of algorithms for solving nonsmooth optimization problems, which are foundational and recent. It first introduces basic facts on convex analysis and subdifferetial calculus, various algorithms are then discussed, including subgradient methods, mirror descent methods, proximal algorithms, alternating direction method of multipliers, primal dual splitting methods and semismooth Newton methods. Moreover, error bound conditions are discussed and the derivation of linear convergence is illustrated. A particular chapter is delved into first order methods for nonconvex optimization problems satisfying the Kurdyka-Lojasiewicz condition. The book also addresses the rapid evolution of stochastic algorithms for large-scale optimization. This book is written for a wide-ranging audience, including senior undergraduates, graduate students, researchers, and practitioners who are interested in gaining a comprehensive understanding of nonsmooth optimization.
Network Optimization An Introduction to the Network Reconstruction Approach Network Reconstruction Approach to optimization
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by Elias Munapo
English | 2025 | ISBN: 8770047421 | 237 pages | True PDF | 11.55 MB
Optimization & Numerical Methods in Quant Finance A Practical Guide to Portfolio Optimization, Derivatives Pricing, and Risk
Free Download Optimization & Numerical Methods in Quant Finance: A Practical Guide to Portfolio Optimization, Derivatives Pricing, and Risk Management (Technical Topics for Quant Finance Book 3)
English | 2025 | ASIN: B0DYDLLS8Q | 274 pages | Epub | 2.15 MB
Master Optimization & Numerical Methods for Smarter Financial Decision-Making
MATLAB Optimization Toolbox User’s Guide
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English | 2025 | ISBN: n/a | 1750 Pages | PDF (True) | 9 MB
Derivative-Free Optimization
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English | 2025 | ISBN: 9819659280 | 194 Pages | PDF EPUB (True) | 32 MB
This book offers a pioneering exploration of classification-based derivative-free optimization (DFO), providing researchers and professionals in artificial intelligence, machine learning, AutoML, and optimization with a robust framework for addressing complex, large-scale problems where gradients are unavailable. By bridging theoretical foundations with practical implementations, it fills critical gaps in the field, making it an indispensable resource for both academic and industrial audiences.