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TPTP (Thousands of Problems for Theorem Provers) [1] is a freely available collection of problems for automated theorem proving. It is used to evaluate the efficacy of automated reasoning algorithms. [2] [3] [4] Problems are expressed in a simple text-based format for first order logic or higher-order logic. [5]
Then continuing by trial and error, a bond gain of 5.53 divided by a bond price of 99.47 produces a yield to maturity of 5.56%. Also, the bond gain and the bond price add up to 105. Finally, a one-year zero-coupon bond of $105 and with a yield to maturity of 5.56%, calculates at a price of 105 / 1.0556^1 or 99.47.
an Office suite; allows to export (and import, with accuracy limitations) PDF files. Microsoft Word 2013: Proprietary: Desktop software. The 2013 edition of Office allows PDF files to be converted into a format that can be edited. Nitro PDF Reader: Trialware: Text highlighting, draw lines and measure distances in PDF files. Nitro PDF Pro ...
A PDF file is organized using ASCII characters, except for certain elements that may have binary content. The file starts with a header containing a magic number (as a readable string) and the version of the format, for example %PDF-1.7. The format is a subset of a COS ("Carousel" Object Structure) format. [24]
YTM may also refer to: A US Navy hull classification symbol: Medium harbor tug (YTM) YTM, the International Air Transport Association airport code for Rivière Rouge – Mont Tremblant International Airport , Canada
The vertical or y-axis depicts the annualized yield to maturity. [3] Those who issue and trade in forms of debt, such as loans and bonds, use yield curves to determine their value. [4] Shifts in the shape and slope of the yield curve are thought to be related to investor expectations for the economy and interest rates.
DIDO utilizes trademarked expressions and objects [1] [2] that facilitate a user to quickly formulate and solve optimal control problems. [8] [17] [18] [19] Rapidity in formulation is achieved through a set of DIDO expressions which are based on variables commonly used in optimal control theory. [2]
AMPL (A Mathematical Programming Language) is an algebraic modeling language to describe and solve high-complexity problems for large-scale mathematical computing (e.g. large-scale optimization and scheduling-type problems). [1] It was developed by Robert Fourer, David Gay, and Brian Kernighan at Bell Laboratories.