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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
"Nonlinear Programming" provides a comprehensive exploration of the theories, methodologies, and applications inherent to nonlinear optimization problems. This book is specifically designed for a broad spectrum of readers, ranging from academic researchers and graduate students in mathematics, computer science, operations research, and engineering, to professionals and practitioners working in fields that require the solving of complex optimization problems. It seeks to bridge the gap between theoretical foundations and real-world applications of nonlinear programming, offering detailed insights into algorithmic developments, problem-solving strategies, and practical implementation considerations.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
"Nonlinear Programming" provides a comprehensive exploration of the theories, methodologies, and applications inherent to nonlinear optimization problems. This book is specifically designed for a broad spectrum of readers, ranging from academic researchers and graduate students in mathematics, computer science, operations research, and engineering, to professionals and practitioners working in fields that require the solving of complex optimization problems. It seeks to bridge the gap between theoretical foundations and real-world applications of nonlinear programming, offering detailed insights into algorithmic developments, problem-solving strategies, and practical implementation considerations.