#finite_element_methods 搜尋結果

📦 New Special Issue: Advances in #Numerical_Analysis: Applications of #Finite_Element_Methods, #Fractional_Differential_Equations, and Emerging Computational Techniques 🎓 by Dr. Ahmed Al-Taweel 🧭 Deadline: 10 September 2025 🔗 mdpi.com/journal/mathem… @ComSciMath_Mdpi

MathematicsMDPI's tweet image. 📦 New Special Issue: Advances in #Numerical_Analysis: Applications of #Finite_Element_Methods, #Fractional_Differential_Equations, and Emerging Computational Techniques 
🎓 by Dr. Ahmed Al-Taweel
🧭 Deadline: 10 September 2025 
🔗 mdpi.com/journal/mathem… 
@ComSciMath_Mdpi

📦 New Special Issue: Advances in #Numerical_Analysis: Applications of #Finite_Element_Methods, #Fractional_Differential_Equations, and Emerging Computational Techniques 🎓 by Dr. Ahmed Al-Taweel 🧭 Deadline: 10 September 2025 🔗 mdpi.com/journal/mathem… @ComSciMath_Mdpi

MathematicsMDPI's tweet image. 📦 New Special Issue: Advances in #Numerical_Analysis: Applications of #Finite_Element_Methods, #Fractional_Differential_Equations, and Emerging Computational Techniques 
🎓 by Dr. Ahmed Al-Taweel
🧭 Deadline: 10 September 2025 
🔗 mdpi.com/journal/mathem… 
@ComSciMath_Mdpi

未找到 "#finite_element_methods" 的結果

Solution for Structural Steel Design Problem

EngInfinityCo's tweet image. Solution for Structural Steel Design Problem

600 million white points make up this image of mine on a canvas of 60000 pixels x 60000 pixels. Each point is a root of the parametric polynomial: 4𝑥⁶ + (−10𝑡₁³ + 10𝑡₁² − 10𝑡₁ + 10𝑖)𝑥² + (10𝑡₂³ − 10𝑡₂² − 10𝑡₂ + 10𝑖)𝑥 𝑡₁, 𝑡₂ ∈ ℂ, |𝑡₁| = |𝑡₂| = 1

S_Conradi's tweet image. 600 million white points make up this image of mine on a canvas of 60000 pixels x 60000 pixels. Each point is a root of the parametric polynomial: 4𝑥⁶ + (−10𝑡₁³ + 10𝑡₁² − 10𝑡₁ + 10𝑖)𝑥² + (10𝑡₂³ − 10𝑡₂² − 10𝑡₂ + 10𝑖)𝑥 𝑡₁, 𝑡₂ ∈ ℂ, |𝑡₁| = |𝑡₂| = 1

—+ REALITY__INTERFACE. .. :.\ { blender(cycles) } RDD [ PHOSPHOR ] *52

veil__hq's tweet image. —+ REALITY__INTERFACE.
        ..            :.\ { blender(cycles)      }
      RDD [ PHOSPHOR ]        *52
veil__hq's tweet image. —+ REALITY__INTERFACE.
        ..            :.\ { blender(cycles)      }
      RDD [ PHOSPHOR ]        *52

Centroid and moment of inertia for different shapes

EngInfinityCo's tweet image. Centroid and moment of inertia for different shapes

Experimented again and did another process-guide-thing! There’s definitely easier ways than this but it’s what works for me ^^

ciosuii's tweet image. Experimented again and did another process-guide-thing! There’s definitely easier ways than this but it’s what works for me ^^
ciosuii's tweet image. Experimented again and did another process-guide-thing! There’s definitely easier ways than this but it’s what works for me ^^
ciosuii's tweet image. Experimented again and did another process-guide-thing! There’s definitely easier ways than this but it’s what works for me ^^
ciosuii's tweet image. Experimented again and did another process-guide-thing! There’s definitely easier ways than this but it’s what works for me ^^

Gala and her normal butterfly

cioscizor's tweet image. Gala and her normal butterfly


—+ SYNTHETIC-MEMORY. {blender:cycles} <c0mm15510n — phydra> *140

veil__hq's tweet image. —+ SYNTHETIC-MEMORY.   {blender:cycles}
             &amp;lt;c0mm15510n — phydra&amp;gt;  *140
veil__hq's tweet image. —+ SYNTHETIC-MEMORY.   {blender:cycles}
             &amp;lt;c0mm15510n — phydra&amp;gt;  *140
veil__hq's tweet image. —+ SYNTHETIC-MEMORY.   {blender:cycles}
             &amp;lt;c0mm15510n — phydra&amp;gt;  *140
veil__hq's tweet image. —+ SYNTHETIC-MEMORY.   {blender:cycles}
             &amp;lt;c0mm15510n — phydra&amp;gt;  *140

Reinforcement of beams using empirical methods

EngInfinityCo's tweet image. Reinforcement of beams using empirical methods

Algorithm Upgrades: From Naive → Optimal

theskilledcoder's tweet image. Algorithm Upgrades:  From Naive → Optimal

Abstractly, this is converging diagonal lines and symmetrical balance.

bernabephoto's tweet image. Abstractly, this is converging diagonal lines and symmetrical balance.

How a Kalman filter works, in pictures ow.ly/QNZXd via @mathupdate

CompSciFact's tweet image. How a Kalman filter works, in pictures ow.ly/QNZXd via @mathupdate

Matrix Factorization! Image Credit- Kenji Hiranabe

PythonPr's tweet image. Matrix Factorization!
Image Credit- Kenji Hiranabe

Linear Algebra and Optimization for Machine Learning:

hamptonism's tweet image. Linear Algebra and Optimization for Machine Learning:

float i,e,R,s;vec3 q,p,d=vec3(FC.xy/r*.6+vec2(-.3,.63),1);for(q.zy--;i++<110.;){o.rgb+=hsv(.45-p.x,R,min(e*s-q.z,R)/8.);s=2.85;p=q+=d*e*R*.2;p=vec3((R=length(p))*7.6,exp(-p.z/R)+R-.05,atan(p.y,p.x)*s);for(e=--p.y;s<5e2;s+=s)e+=dot(sin(p.xzy*s+.2),.1+cos(p.zyx*s))/s*.3;} #glsl

YoheiNishitsuji's tweet image. float i,e,R,s;vec3 q,p,d=vec3(FC.xy/r*.6+vec2(-.3,.63),1);for(q.zy--;i++&amp;lt;110.;){o.rgb+=hsv(.45-p.x,R,min(e*s-q.z,R)/8.);s=2.85;p=q+=d*e*R*.2;p=vec3((R=length(p))*7.6,exp(-p.z/R)+R-.05,atan(p.y,p.x)*s);for(e=--p.y;s&amp;lt;5e2;s+=s)e+=dot(sin(p.xzy*s+.2),.1+cos(p.zyx*s))/s*.3;} #glsl

This GLSL work (“galactic soup”) is now at the exhibition @ADAAman2020 in Japan😊🙏

YoheiNishitsuji's tweet image. This GLSL work (“galactic soup”) is now at the exhibition @ADAAman2020 in Japan😊🙏


3DCADのフィレット掛け Part1 接線連続するエッジが作成されるように作成していくと形状の折れや三角面の発生を抑えたり、効率よいフィレット掛けにつながります。

teruki_obara's tweet image. 3DCADのフィレット掛け Part1
接線連続するエッジが作成されるように作成していくと形状の折れや三角面の発生を抑えたり、効率よいフィレット掛けにつながります。
teruki_obara's tweet image. 3DCADのフィレット掛け Part1
接線連続するエッジが作成されるように作成していくと形状の折れや三角面の発生を抑えたり、効率よいフィレット掛けにつながります。
teruki_obara's tweet image. 3DCADのフィレット掛け Part1
接線連続するエッジが作成されるように作成していくと形状の折れや三角面の発生を抑えたり、効率よいフィレット掛けにつながります。
teruki_obara's tweet image. 3DCADのフィレット掛け Part1
接線連続するエッジが作成されるように作成していくと形状の折れや三角面の発生を抑えたり、効率よいフィレット掛けにつながります。

any time i encounter a problem i simply use the Feynman algorithm

tekbog's tweet image. any time i encounter a problem i simply use the Feynman algorithm

Hey, I think this image you used is actually an ai generated image. So here are some real examples you could use instead /nm

k1t_catt's tweet image. Hey, I think this image you used is actually an ai generated image. So here are some real examples you could use instead /nm
k1t_catt's tweet image. Hey, I think this image you used is actually an ai generated image. So here are some real examples you could use instead /nm
k1t_catt's tweet image. Hey, I think this image you used is actually an ai generated image. So here are some real examples you could use instead /nm
k1t_catt's tweet image. Hey, I think this image you used is actually an ai generated image. So here are some real examples you could use instead /nm

Volume representations for factoring the difference of two cubes.

TheMathFlow's tweet image. Volume representations for factoring the difference of two cubes.

Introduction to Digital Filters - Jupyter notebooks and a geometric interpretation of digital audio filters karlhiner.com/jupyter_notebo…


Linear Algebra and Optimization for Machine Learning:

hamptonism's tweet image. Linear Algebra and Optimization for Machine Learning:

Loading...

Something went wrong.


Something went wrong.


United States Trends