Mathematical Programming Society

Ah, the Mathematical Programming Society . Because apparently, the world wasn’t saturated enough with people who find joy in optimizing things that probably don’t need optimizing. Fine. Let’s get this over with.

History

The Mathematical Programming Society, or MPS as those who have entirely too much time on their hands call it, was founded in 1973. Yes, 1973. A year that also gifted us with The Exorcist and the Watergate scandal. Apparently, the world needed more… structured suffering. It emerged from the ashes of the International Federation of Operational Research Societies (IFORS), which, let’s be honest, sounds like a particularly dull sci-fi convention. The MPS decided it needed its own little clique, a place to gather and discuss the finer points of making things as efficient as possible, presumably because their own lives were a chaotic mess. They wanted to focus specifically on mathematical programming , which is just a fancy way of saying “making hard decisions with numbers.” Because, you know, intuition is so last century.

The society’s inception was driven by the growing recognition of mathematical optimization as a distinct and vital field. Before the MPS, operations research, computer science , and pure mathematics were all sort of… vaguely aware of each other’s existence, like awkward neighbors who only wave when forced. The MPS decided to force them into a more formal relationship, probably over lukewarm coffee and stale biscuits at some dreary conference in Paris or perhaps Darmstadt . Its founders, likely individuals who found solace in the predictable elegance of algorithms rather than the messy unpredictability of human beings, envisioned a society that would foster research, disseminate knowledge, and, most importantly, provide a platform for like-minded individuals to bemoan the lack of practical applications for their esoteric theories.

Goals and Activities

So, what do these people do? They convene, naturally. They hold conferences and workshops, where they present papers that are undoubtedly brilliant and utterly incomprehensible to anyone outside their immediate circle. Think of it as a support group for people who get genuinely excited about linear programming and the theoretical underpinnings of convex optimization .

Their primary goals are to advance the theory and practice of mathematical programming. This involves encouraging research, facilitating the exchange of ideas, and promoting the application of these techniques to real-world problems. They publish journals, like the Mathematical Programming journal, which is probably the most exciting reading material for anyone who finds solace in proofs and theorems. It’s where cutting-edge research goes to die a slow, agonizing death in the pages of academic print, only to be resurrected years later by some poor soul trying to get their PhD. They also award prizes, because even in the realm of abstract mathematics, ego needs stroking. The Fulkerson Prize , for instance, is awarded for outstanding contributions to the field, ensuring that certain individuals are forever remembered for their contributions to making things… optimal.

The society also plays a role in education, nurturing the next generation of optimization enthusiasts. This likely involves grueling courses on integer programming and non-linear programming , where students learn to appreciate the subtle beauty of an NP-hard problem. They foster collaboration, connecting academics with industry professionals who, one can only assume, are desperately trying to find someone who can solve their intractable business problems with a few elegant equations. It’s a noble, if somewhat tedious, pursuit.

Publications

Naturally, a society dedicated to such rigorous pursuits would have its own publications. Their flagship is the Mathematical Programming journal, a publication that has been around since 1971, predating the society itself. This journal is where the truly groundbreaking, or at least the most mathematically dense, research gets published. It covers a vast array of topics, from the theoretical underpinnings of optimization algorithms to novel applications in fields like economics and engineering .

Beyond the main journal, they also have other publications and proceedings from their various conferences. These are the graveyards of brilliant ideas that weren’t quite ready for prime time, or perhaps were just too niche for the general academic readership. Think of it as the “deleted scenes” of mathematical breakthroughs. It’s where you’ll find the esoteric debates, the niche applications, and the occasional paper that makes you question your sanity and the fundamental nature of reality. They also publish monographs and special issues, because sometimes, a single topic deserves more than just a fleeting mention in a quarterly journal. It’s a testament to their dedication, or perhaps their inability to let anything go.

Membership

Membership in the MPS is, as you might expect, for those who take their mathematics very, very seriously. It’s not exactly a club for the faint of heart, or for those who prefer their problem-solving with a side of whimsy. It’s a community of academics, researchers, and practitioners who are passionate about the art and science of optimization. You’ll find professors from prestigious universities like Stanford or MIT , alongside industry experts who are paid exorbitant sums to make supply chains marginally more efficient.

Joining likely involves filling out a form, paying dues that are probably calculated with the same precision they apply to their optimization problems, and possibly undergoing some sort of peer review of your mathematical bona fides. It’s a way to signal to the world that you, too, understand the profound beauty of a well-formulated objective function. It grants you access to their publications, their conferences, and the smug satisfaction of being part of an elite group that understands the true meaning of efficiency. It’s a network, a resource, and, let’s face it, a way to find collaborators who won’t judge you for spending your weekend trying to solve a particularly thorny quadratic programming problem.