http://hdl.handle.net/123456789/92 Sat, 31 Oct 2026 09:38:08 GMT 2026-10-31T09:38:08Z http://hdl.handle.net/123456789/2365 Title: Learning RabbitMQ Authors: Toshev, Martin Tue, 01 Dec 2015 00:00:00 GMT http://hdl.handle.net/123456789/2365 2015-12-01T00:00:00Z http://hdl.handle.net/123456789/2364 Title: Learning Quantitative Finance with R Authors: Jeet, Dr. Param Wed, 01 Mar 2017 00:00:00 GMT http://hdl.handle.net/123456789/2364 2017-03-01T00:00:00Z http://hdl.handle.net/123456789/2363 Title: Learning QGIS Third Edition Authors: Graser, Anita Tue, 01 Mar 2016 00:00:00 GMT http://hdl.handle.net/123456789/2363 2016-03-01T00:00:00Z http://hdl.handle.net/123456789/2362 Title: Engineering Optimization : Theory and Practice Authors: Rao, Singiresu S. Abstract: The ever-increasing demand on engineers to lower production costs to withstand global competition has prompted engineers to look for rigorous methods of decision mak- ing, such as optimization methods, to design and produce products and systems both economically and efficiently. Optimization techniques, having reached a degree of maturity in recent years, are being used in a wide spectrum of industries, including aerospace, automotive, chemical, electrical, construction, and manufacturing industries. With rapidly advancing computer technology, computers are becoming more powerful, and correspondingly, the size and the complexity of the problems that can be solved using optimization techniques are also increasing. Optimization methods, coupled with modern tools of computer-aided design, are also being used to enhance the creative process of conceptual and detailed design of engineering systems. Thu, 01 Jan 2009 00:00:00 GMT http://hdl.handle.net/123456789/2362 2009-01-01T00:00:00Z