Gamma Wolves
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Gamma Wolves
In the blasted, radiation-scorched, wastelands of the Earth's surface, towering mecha do battle, defending the interests of one of the few remaining arcology governments, providing security for wilderness outposts, or seeking out loot and supplies as a mercenary company. With detailed rules for designing and customizing your mecha, from size and propulsion type to payload and pilot skills, and a campaign system that allows pilots to gain experience and skills as they patrol the shattered Earth, Gamma Wolves is a fast-playing game of post-apocalyptic mecha warfare.
In Search of the Gamma Wolf
IN SEARCH OF THE GAMMA WOLF We have all watched documentaries in the late hours illustrating the exploits of the dominant Alpha wolf and the Beta wolves that he mauls on his way to the top. But did any wildlife documentary maker ever capture the sneaky exploits of the Gamma wolf? The lone straggler at the back of the pack, with the chewed up tail and mangy fur, who cavorts successfully with the females whilst the Alpha is out of sight? This book is an attempt to graft male society onto a quasi-scientific—but predominantly fictitious—concept of the wolf pack hierarchy. Along with the familiar Alpha and Beta wolves, this book sheds light on the lesser known wolf types: the plucky Gamma wolf and his comrades, the Theta, Omega, Zeta and Omicron wolves. It can be used as a light-hearted guide to any informal or institutional environment to identify different male types, the structure of the hierarchy, and where individuals fit within it.
Handbook of Formal Optimization
The formal optimization handbook is a comprehensive guide that covers a wide range of subjects. It includes a literature review, a mathematical formulation of optimization methods, flowcharts and pseudocodes, illustrations, problems and applications, results and critical discussions, and much more. The book covers a vast array of formal optimization fields, including mathematical and Bayesian optimization, neural networks and deep learning, genetic algorithms and their applications, hybrid optimization methods, combinatorial optimization, constraint handling in optimization methods, and swarm-based optimization. This handbook is an excellent reference for experts and non-specialists alike, as it provides stimulating material. The book also covers research trends, challenges, and prospective topics, making it a valuable resource for those looking to expand their knowledge in this field.