Conference record: 20230926_3rd_DDS@Osaka
Conference record: 3rd Data Descriptive Science (day 2)
Persistent Homogeneity on Financial Market Stocks
Configuration spaces of financial market stacks TDA
- Market -> Topological space
- Status of market -> Regime
RQ: Valance are R how to apply it to configuration space?
Definitions
definition of distance: Euclidean distance of
Assumption: betti number could refer to confidence?
TDA for digital rock
- how to define shape -> flow
- inference function of pathways
- from data infer a potential structure
- digital oil
Mathematical modeling method dev for life science
Check: Senrin Lee's Lab
RQ1: cell arrangement is critical -> how to build a new mathematical model for this process
- cell arrangement is asymmetric -> hard to predict
- Aspect Ratio (AR) is a traditional index to explain cell adhesion
- BUT T-reversed arrangement is hard to explain
-> draw actual physical shape of eggshell
-> cell morphology model - Process: image data -> num -> morphology -> sim
- Even find the way to control the type of cell arrangement (Empty Space)
- Optimal transport to cover the limits of 'gap between discrete actual data and continum math model'
RQ2: How to find a good mathematical model to describe
Check: NVIDIA omni
- consider task as a Monge question
Check: liquid fluid is a semi-discrete optimal transport question
The Two Cultures of Mathematics
Theme: communication?
-
The arts vs. Sciences -C.P. Snow
-
Problem solver vs. Theory builder
-> necessary: generalization and abstraction (or might not?) -
Somethings, interesting questions just emerge
-
Soft science vs. Hard science
-
From Deduction to Induction?
Notions
- There are multiple approach for mathematical applications
- I need more information and thinking patterns for some questions' emerging
- Some minimum condition I have to hit
- Basic knowledge of Topology
- Shape Functional
- Coding skills
Keywords: #conference #records #math