Skip to content
Home/ Mathematics of Nonlinear Programming (Softcover Reprint of the Original 1st 1988)
Mathematics of Nonlinear Programming (Softcover Reprint of the Original 1st 1988)
Save Ask us

Mathematics of Nonlinear Programming (Softcover Reprint of the Original 1st 1988)

No customer reviews yet ISBN 9781461269892 Springer
Published
Sep 2012
Language
English
Size
9.25 × 0.66 × 6.1 in
$93.81
In stock
Most orders arrive within 3 weeks. Shipping policy
Qty
Sign in to Add to Saved list
Free delivery over $35 · 15-day returns

Condition

Brand New

An unread, unused copy: no writing or highlighting, and no missing or damaged pages. Every book we sell is brand new, including our lowest-priced titles.

About this book

The book is aimed at students who have a working knowledge of linear algebra and partial differentiation but has had no previous exposure to optimization. Mathematics instructors will be comfortable with the mathematical approach which deemphasizes recipes and emphasizes underlying concepts. There are many exercises chosen to highlight the fundamental ideas.

Specifications

PublisherSpringer
PublishedSep 30, 2012
ISBN-10146126989X
ISBN-139781461269892
LanguageEnglish
Dimensions9.25 × 0.66 × 6.1 in
Weight1 lb

Buying from Saanjhi

  • Ships from the USA. Delivery to US addresses only.
  • Free delivery on orders over $35.
  • 15-day returns. Unless we send the wrong book or it arrives damaged, you pay return shipping and a 15% restocking fee.
  • Secure checkout. We never store card details.

Readers who bought this also bought

More from Counting & Numeration
See all
K-Theory
Atiyah, Michael
$243.54
Computational Neuroscience
<p>This book represents a collection of recent advances in computational studies in neuroscience research that practically applies to a collaborative and integrative environment in engineering and medical domains. This work has been designed to address the explosion of interest by academic researchers and practitioners in highly-effective coordination between computational models and tools and quantitative investigation of neuroscientific data. To bridge the vital gap between science and medicine, this book brings together diverse research areas ranging from medical signal processing, image analysis, and data mining to neural network modeling, regulation of gene expression, and brain dynamics. We hope that this work will also be of value to investigators and practitioners in academic institutions who become involved in computational modeling as an aid in translating information in neuroscientific data to their colleagues in medical - main. This volume will be very appealing to graduate (and advanced undergraduate) students, researchers, and practitioners across a wide range of industries (e. g., pharmaceutical, chemical, biological sciences), who require a detailed overview of the practical aspects of computational modeling in real-life neuroscience problems. For this reason, our audience is assumed to be very diverse and heterogenous, including: vii viii Preface - researchers from engineering, computer science, statistics, and mathematics - mains as well as medical and biological scientists; -physicians working in scienti?c research to understand how basic science can be linked with biological systems.</p>
$177.01