Elements of Classical and Geometric Optimization 1st Edition

Elements of Classical and Geometric Optimization (1st Edition) by Debasish Roy and G. Visweswara Rao is a concise, authoritative guide that bridges rigorous theory with practical insight for students, researchers, and practicing engineers. This book offers a clear path through classical optimization techniques and modern geometric approaches, making complex concepts accessible without sacrificing mathematical depth.

Begin with foundational principles—optimality conditions, Lagrange multipliers, and convexity—and progress to geometric methods that illuminate structure and intuition behind solution strategies. Carefully worked examples, intuitive diagrams, and step-by-step proofs help readers master topics such as convex and nonconvex optimization, duality theory, gradient methods, and geometric interpretations of constraint sets. Emphasis on problem-solving and real-world applications ensures relevance for operations research, control systems, data science, and engineering design.

Whether you are preparing for advanced coursework, conducting research, or applying optimization in industry, this edition equips you with a robust toolkit: rigorous proofs, practical algorithms, and geometric viewpoints that foster deeper understanding and faster implementation. The writing is student-friendly yet sophisticated enough for doctoral study, and the global applicability makes it valuable for readers in India, North America, Europe, and beyond.

Add Elements of Classical and Geometric Optimization to your professional library to sharpen analytical skills and gain a competitive edge in optimization theory and practice. Order your copy today and start transforming complex optimization challenges into elegant, solvable models.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.