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Charles Audet

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<p class="MsoNormal"><strong style="mso-bidi-font-weight: normal;"><span style="mso-ansi-language: EN-IN;">Dr. Charles Audet</span></strong><span style="mso-ansi-language: EN-IN;"> is a Professor of Mathematics at the &Eacute;cole Polytechnique de Montr&eacute;al. His research interests include the analysis and development of algorithms for blackbox nonsmooth optimization, and structured global optimization. He obtained a Ph.D. degree in applied mathematics from the &Eacute;cole Polytechnique de Montr&eacute;al, and worked as a postdoctoral researcher at Rice University.</span></p>
<p><strong style="mso-bidi-font-weight: normal;"><span style="font-size: 11.0pt; line-height: 105%; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: Calibri; mso-fareast-theme-font: minor-latin; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-IN; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;">Dr. Warren Hare</span></strong><span style="font-size: 11.0pt; line-height: 105%; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: Calibri; mso-fareast-theme-font: minor-latin; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-IN; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;"> is a Professor of Mathematics at the University of British Columbia, Okanagan Campus.<span style="mso-spacerun: yes;">&nbsp; </span>His research interests include numerical analysis and algorithm design, particularly for derivative-free optimisation.<span style="mso-spacerun: yes;">&nbsp; </span>He obtained his Ph.D. in optimization from Simon Fraser University and worked as postdoctoral researcher at the Instituto de Mathem&aacute;tica Pura e Applicada and McMaster University.</span></p>
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Derivative-Free and Blackbox Optimization

Charles Audet

The second edition of Derivative-Free and Blackbox Optimization offers a comprehensive introduction to the field of optimization when derivatives are unavailable, unreliable, or impractical. Whether you’re a student, instructor, or self-learner, this book is designed to guide you through both the foundations and advanced techniques of derivative-free and blackbox optimization. This new edition features significantly expanded exercises, updated and intuitive notation, over 30 new figures, and a wide range of...
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E-Book
Erscheinung
30.07.2026
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€69,54
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