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In this presentation, Nick Thompson of bandgap.io will discuss his work to provide state-of-the-art numerical algorithms in Boost.Math. We will discuss how to use adaptive quadrature methods such as Gauss-Kronrod, tanh-sinh, and Curtis-Clenshaw, regular and irregular interpolation methods using splines of compact support and barycentric rational functions, time-complexity compression and numerical differentiation via the Chebyshev transform. These features landed in boost 1.66. In addition, we will discuss features which *should* land in boost 1.67, which include Pollard rho integer factorization, Monte Carlo integration, quasi-Monte Carl integration, quasi-random sequence generation, and finally signal denoising using RiskShrink.
VENUE AND SPONSOR: Decisio Health ( https://decisiohealth.com/ ) hosts our Python Meetup. We will be meeting at Decisio Health's office at 3900 Essex Ln. Suite #600 Houston, TX 77027, on the sixth floor. Decisio Health is excited to sponsor the Python Meetup, and we are excited to welcome this new venue opportunity.
FOOD/DRINK: Decisio will be providing Food (both vegetarian and meat varieties) as well as water, beer, and soda. If you have alternate preferences, please feel free to bring your own (perhaps from Central Market, next door). If your company would like to SPONSOR FOOD/DRINK for an upcoming meetup, please get in touch.
Note that air conditioning ends and custodial services begin at 9:00pm. Feel free to mingle afterwards, however we need to exit the office itself by 9:30pm so office staff can go home to their families.
PARKING: Plenty of marked VISITOR spots are available in the garage. Please DO NOT use "Reserved" parking, especially "Reserved Kelsey-Seybold" parking. (Parking at Central Market is also possible but "at your own risk" regarding their towing policies).
Share your Lightning Talks! A "lightning talk" is a quick mini-presentation (5 minutes maximum) on any Python topic you'd like. We'll save time for 2-3 of these each month: to save a spot, post a comment with your talk's title/topic. Beginner topics are especially welcome!
Presentations Wanted: If you'd like to share a topic with the group at an upcoming, let's talk!