Solving problems that have more than one possible solution is something every developer will be asked to do over the course of his o r her career. Figuring out the best way to utilize the capacity of a devi ce or machine\, finding the shortest path between two points\, or determi ning the best way to schedule people or events are all problems where mat hematical optimization techniques can be used to quickly and efficiently find solutions. In this introduction to mathematical optimization designe d specifically for software developers\, we will explore some of the foun dational techniques for solving these types of problems\, and add several of these methods to your toolbox so that you can put them to work for yo ur customers. Since this is a session for developers\, we'll keep it in t erms that work best for us. That is\, we'll go heavy on the code and ligh ter on the math.

DTEND;TZID=America/Phoenix:20161008T104500 DTSTAMP:20230204T045620Z DTSTART;TZID=America/Phoenix:20161008T094500 GEO:33.293070;-111.796620 LOCATION:Chandler - Gilbert Community College - CHO-110 ORGANIZER: SEQUENCE:0 STATUS:CONFIRMED SUMMARY:Solving problems that have more than one possible solution is s omething every developer will be asked to do over the course of his or he r career. Figuring out the best way to utilize the capacity of a device o r machine\, finding the shortest path between two points\, or determining the best way to schedule people or events are all problems where mathema tical optimization techniques can be used to quickly and efficiently find solutions. In this introduction to mathematical optimization designed sp ecifically for software developers\, we will explore some of the foundati onal techniques for solving these types of problems\, and add several of these methods to your toolbox so that you can put them to work for your c ustomers. Since this is a session for developers\, we'll keep it in terms that work best for us. That is\, we'll go heavy on the code and lighter on the math.

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