Conjugate Duality and Optimization

Conjugate duality and optimization

✍ R Tyrrell Rockafellar 📂 Library 📅 1987 🏛 Society for Industrial and Applied Mathematics 🌐 English

Provides a relatively brief introduction to conjugate duality in both finite- and infinite-dimensional problems. An emphasis is placed on the fundamental importance of the concepts of Lagrangian function, saddle-point, and saddle-value. General examples are drawn from nonlinear programming, approxim

Conjugate duality in convex optimization

📁 Conjugate duality in convex optimization

✍ Radu Ioan Bot 📂 Library 📅 2010 🏛 Springer 🌐 English

<P>This book presents new achievements and results in the theory of conjugate duality for convex optimization problems. The perturbation approach for attaching a dual problem to a primal one makes the object of a preliminary chapter, where also an overview of the classical generalized interior point

Conjugate Duality in Convex Optimization

📁 Conjugate Duality in Convex Optimization (Lecture Notes in Economics and Mathematical Systems)

✍ Radu Ioan Bot 📂 Library 📅 2010 🏛 Springer 🌐 English

<P>This book presents new achievements and results in the theory of conjugate duality for convex optimization problems. The perturbation approach for attaching a dual problem to a primal one makes the object of a preliminary chapter, where also an overview of the classical generalized interior point

Conjugate Duality and Optimization (CBMS

📁 Conjugate Duality and Optimization (CBMS-NSF Regional Conference Series in Applied Mathematics)

✍ R. Tyrrell Rockafellar 📂 Library 📅 1987 🏛 Society for Industrial Mathematics 🌐 English

This monograph presents an excellent introduction to convex duality. If you want to understand duality via perturbations and its connection to lagrangian functions this is a great way to start. The book "Convex analysis" (by the same author) is probably more accurate and it has more material, but it

Conjugate Duality and Optimization (CBMS

📁 Conjugate Duality and Optimization (CBMS-NSF Regional Conference Series in Applied Mathematics)

✍ R. Tyrrell Rockafellar 📂 Library 📅 1987 🏛 Society for Industrial Mathematics 🌐 English

This monograph presents an excellent introduction to convex duality. If you want to understand duality via perturbations and its connection to lagrangian functions this is a great way to start. The book "Convex analysis" (by the same author) is probably more accurate and it has more material, but it

Conjugate Direction Methods in Optimizat

📁 Conjugate Direction Methods in Optimization

✍ Magnus Rudolph Hestenes (auth.) 📂 Library 📅 1980 🏛 Springer-Verlag New York 🌐 English

<p>Shortly after the end of World War II high-speed digital computing machines were being developed. It was clear that the mathematical aspects of com putation needed to be reexamined in order to make efficient use of high-speed digital computers for mathematical computations. Accordingly, under th

Conjugate Duality and Optimization

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