A mathematical process is like adding, dividing, subtracting and multiplying or things like that.
Any mathematical process is an algorithm.
Any shape is mathematical.
Probability model
I don't know what a 'mathematical' sentence is. I'd prefer to call it an English sentence that describes a mathematical process and makes a statement concerning mathematical matters.
The process of converting mathematical equations into onscreen pixels
Any mathematical process is an algorithm.
Computers can be applied to any process that can be converted to mathematical terms.
A mathematical process in wich sets are combined
any mathematical process is called an operation
The process of removing roots from a mathematical equation is called "solving" the equation.
Any shape is mathematical.
Probability model
numbers that are combined in addition process
I don't know what a 'mathematical' sentence is. I'd prefer to call it an English sentence that describes a mathematical process and makes a statement concerning mathematical matters.
The process of converting mathematical equations into onscreen pixels
multiplication
No, mathematical analysis of data was not yet a well-established process in science when Johannes Kepler began studying Tycho Brahe’s astronomical data in the late 16th and early 17th centuries. Science was still qualitative and philosophical At the time, natural philosophy (what we now call science) relied more on logical reasoning and philosophical arguments than on systematic data analysis or mathematical modeling. No formal statistical methods yet Fields like statistics, error analysis, and regression analysis had not yet been developed. The mathematical tools we now associate with data analysis (standard deviation, correlation, probability theory) came later in the 17th–18th centuries. Kepler’s work was pioneering Kepler was one of the first scientists to apply mathematics rigorously to observed data. Using Tycho’s highly accurate records of planetary positions, Kepler developed his three laws of planetary motion by manually fitting ellipses to the observed positions of Mars This involved trial and error, deep mathematical insight, and an early form of empirical modeling, which was highly innovative for his time.