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Call Us: +1 (541) 896-1301CenterSpace SoftwareProductsOverviewDesign PhilosophyNMathNMath StatsNMath PremiumBenchmarksLicense AgreementServicesSupportProfessional ServicesDownloadsTrial VersionsUpgradesWhitepapersFree StuffOrderOrderPartnersCommunityBlogResourcesFAQDocumentationCode ExamplesLinksNewslettersCompanyAbout UsCustomersTestimonialsPress ReleasesCareersContact UsSitemapRecent NewsJanuary 22, 2014 Optimal Portfolio Allocation The problem of optimal portfolio allocation, in its simplest form, asks the question of how to allocate a given amount of wealth across a fixed universe of investments to achieve a minimum-risk goal-expected return. The known quantities are the potential field of investments, their performance history, and the goal rate of return; The unknown is the wealth allocation across the investments. [...] December 16, 2013 Chebyshev Filters with NMath There are three classes of widely used IIR (recursive) filters in signal processing: Butterworth, Chebyshev, and elliptical. In this article I will give a short introduction to the Chebyshev filter, present an efficient O(n log n) code implementation based on the FFT, and finish with a usage example. [...] November 04, 2013 New NMath Video Series We are proud to announce a series of tutorial videos on how to use CenterSpace's NMath products. We are starting, naturally, with Getting Started with NMath. The videos will be available on our new youtube channel, or you can just watch the first video here. Please let us know which topics you want us to cover. Email support@centerspace.net October 30, 2013 IIR Filtering with Butterworth Filters There are three classes of widely used IIR (recursive) filters in signal processing: Butterworth, Chebyshev, and elliptical. In this article I will discuss the Butterworth filter and provide example code implementing and using the filter. Butterworth filters are desirable for their ease of implementation, good phase response, and their smooth monotonic frequency [...] October 16, 2013 Smooth Cubic Splines Smooth cubic splines embody a curve fitting technique which blends the ideas of cubic splines and curvature minimization to create an effective data modeling tool for noisy data. Traditional cubic splines represent the tabulated data as a piece-wise continuous curve which passes through each value in the data table. If we need to fit a spline to some non-uniformly sampled noisy data, the results can be rather unsatisfying because every data point is visited by the spline [...] Announcing NMath Premium CenterSpace Software is pleased to announce the general availability of the Premium Editions of NMath 5.3 and NMath Stats 3.6. NMath Premium leverages the power of NVIDIA’s CUDA™ architecture for GPU-accelerated mathematics in .NET. CenterSpace has partnered with leading GPU computing experts to bring GPU-accelerated mathematics to the .NET platform for the first time. NMath .NET Math and Statistics The NMath .NET math and statistics lib
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