This book provides a comprehensive introduction to nonlinear programming, featuring a broad range of applications and solution methods in the field of continuous optimization. It begins with a summary of classical results on unconstrained optimization, followed by a wealth of applications from a diverse mix of fields, e.g. location analysis, traffic planning, and water quality management, to name but a few. In turn, the book presents a formal description of optimality conditions, followed by an in-depth discussion of the main solution techniques. Each method is formally described, and then fully solved using a numerical example.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
"This book may be very useful as a textbook for nonlinear optimization courses." (Juan Enrique Martinez-Legaz, zbMATH 1498.90001, 2022)
"This textbook presents a nice, well-written overview on solution methods and practical applications of unconstrained and (linearly and nonlinearly) constrained optimization problems." (Jan-J. Rückmann, Mathematical Reviews, August, 2020)
"This textbook presents a nice, well-written overview on solution methods and practical applications of unconstrained and (linearly and nonlinearly) constrained optimization problems." (Jan-J. Rückmann, Mathematical Reviews, August, 2020)