Search Results for "math function graph" - Page 5

Microfi PyPlot is an easy-to-use function plotter. It's completely open-source, so you can edit it as you feel necessary. The main goal of this project is to provide a clean interface for school teachers and students that want to study math.

Calcgui is a graphical calculator written in Perl. It's very lightweight and works with Perl/Tk. It is able to calculate allmost any function with 1 variable and is also able to graph them.

A small utility for visualizing graphics of the wide math function list. Based on Glade/GTK+ toolkit so integrates into GNOME flawlessly. Uses mathGl library for drawing purposes, see http://mathgl.sourceforge.net/

FunkyPlot is an interactive plotting tool for mathematical functions, designed for pupils and students.

Project Graph contains the sources and releases of MIDlet Graph, which calculates mathematic expressions and draws function graphics on the screen of J2ME mobile device.

FishLAB is an easy-to-use program for tracking aquarium water chemistry. With FishLab you can monitor pH, hardness, NH4, NO2, NO3, Fe, CO2 (the software converts units where needed). The graph function warns you of bad trends in water quality.

Function graph drawing/rendering application for use with audio applications. Exports .wav files. Dependencies: wxPython & Numeric(not in 1.10)

Disparate set of java utility functions used in numerous Aepryus projects. Includes a math package with vector objects and function parsers. A utility package contains loggers, a handy profiler and assorted helper methods for String and Date classes.

Not yet playable. jadab is a Dots and Boxes playing program. It uses modern algorithms and graph theory to play the twin game, Strings and Coins. It is being done as a research project in math, game theory, and computer science at Dalhousie University

Vofce is a simple GUI driven graph plotting tool mainly for math students.

Draw & analysis math function graph in a free way!

This tool converts the output of gprof to a format processible by the DOT tool, to generate a nice graphical function call graph.

Functrace is a tracing facility, similar to ltrace/strace, that can be used for tracing the dynamic call graph internal to a running program (i.e. a trace of function calls).

...It pairs a 3.4B-parameter language model with a 0.4B-parameter vision encoder, enabling it to understand both text and image inputs. This reasoning-tuned variant is optimized for tasks like math, coding, and other STEM-related problem solving, making it suitable for applications that require logical reasoning, analysis, or structured thinking. Despite its modest size, the model is designed for edge deployment and can run locally, fitting in ~16 GB of VRAM in BF16 or under 8 GB of RAM/VRAM when quantized. It supports dozens of languages, allowing it to function across global and multilingual contexts. ...

...It combines an 8.4B-parameter language model with a 0.4B vision encoder, enabling it to process both text and images for advanced reasoning tasks. This version is specifically post-trained for reasoning, making it well-suited for math, coding, and STEM applications requiring multi-step logic and problem-solving. Despite its reasoning-focused training, the model remains edge-optimized and can run locally on a single 24GB GPU in BF16, or under 12GB when quantized. It supports dozens of languages, adheres reliably to system prompts, and provides native function calling and structured JSON output—key capabilities for agentic and automation workflows. ...

...It pairs a 13.5B-parameter language model with a 0.4B vision encoder, enabling strong multimodal reasoning across both text and images. This version is specifically post-trained for reasoning tasks, making it highly effective for math, coding, STEM workloads, and complex multi-step problem-solving. Despite its scale, the model is engineered for practical deployment and can run locally on 32GB of VRAM in BF16 or under 24GB when quantized. It maintains robust system-prompt adherence, supports dozens of languages, and provides native function calling with clean JSON output for agentic workflows. ...

...It introduces a hybrid reasoning mode with explicit <think> segments, enabling the model to deliberate deeply when needed and switch to faster responses when desired. Post-training improvements include a vastly expanded corpus with ~60B tokens, boosting performance across math, code, STEM, logic, creativity, and structured outputs. The model is designed for schema adherence, producing valid JSON and repairing malformed outputs, making it highly suitable for tool use and function calling. Hermes 4 is engineered for superior steerability with reduced refusal rates, aligning responses to user values while preserving assistant quality. ...