
ISBN 1559500468 | Author: Wayne B. Yeager | Publisher: Loompanics Unlimited | 1990 | Pages: 70 | PDF | ~3mb
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BIN + CUE | 385 Mb (Rapidshare) or 189 Mb (Megaupload)
The mid 1960's was a time of racing legends, a time when race car drivers were the real heroes. Golden age of Racing gives you the chance to relive the best years of Grand Prix racing. These cars are high horse-power, no down-force, rear-wheel-drive works of automotive art. Push your car to the limit around ten of the most challenging tracks on the international circuit competing against incredibly intelligent opponents that know how to hold a grudge. So strap yourself in to the seat and start your engine. Only your reflexes can save you now!
• Fantastic seat of your pants racing with an historically accurate racing feel – these legendary vehicles feel like nothing you've ever played before.
• Gameplay modes include Time challenge, Exhibition, Championship season and Competitive two-player split-screen modes.
• A trophy room to record your lap times, race wins and progress through the championships.
• Immense quantity of un-lockable content including new cars, tracks and extra's for your vehicles.
Seen a great pile-up mid race? Instantly view it at a variety of speeds and angles then carry on racing when you're done!
Download:
Mirror01: Download Golden Age Of Racing Part 01
Mirror01: Download Golden Age Of Racing Part 02
Mirror01: Download Golden Age Of Racing Part 03
Mirror01: Download Golden Age Of Racing Part 04
Mirror01: Download Golden Age Of Racing Part 05
Mirror01: Download Golden Age Of Racing Part 06
Mirror01: Download Golden Age Of Racing Part 07
Mirror01: Download Golden Age Of Racing Part 08
Mirror02: Download Golden Age Of Racing Part 01
Mirror02: Download Golden Age Of Racing Part 02
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PDF | ~1.15MB | 261 Pages | Sheldon Axler | Springer
This text for a second course in linear algebra is aimed at math majors and graduate students. The novel approach taken here banishes determinants to the end of the book and focuses on the central goal of linear algebra: understanding the structure of linear operators on vector spaces. The author has taken unusual care to motivate concepts and to simplify proofs. For example, the book presents--without having defined determinants--a clean proof that every linear operator on a finite-dimensional complex vector space (or an odd-dimensional real vector space) has an eigenvalue. A variety of interesting exercises in each chapter helps students understand and manipulate the objects of linear algebra.
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